1. 1. Zekic Susac, M., Pfeifer, S., Sarlija, N., “A Comparison of Machine Learning Methods in a HighDimensional Classification Problem”, Business System Research, Vol.5 No.3,pp.82-96, 2014.
   2. Ying-Chun Bo, Jun-Fei, Qlaogang Yang,” A Modular neural networks ensembling method based on fuzzy decision making”, International Conference on Electric Information Decision-Making, pp.1030-1034,2011
   3. Kuldeep Vora and Shruti Yagnik, “A Survey on Backpropagation Algorithms for Feedforward Neural Networks”, International Journal of Engineering Development and Research, pp193-197. 
   4. R.Sathya, Annamma Abraham, “Comparison of Supervised and Unsupervised Learning Algorithms for Pattern Classification”, International Journal of Advance Research in Artificial Intelligence,Vol.2, No.2, 2013.
   5. Migel D. Tissera, Mard D. McDonnell, “Modular expansion of the hidden layer in single layer feed forward neural network”, pp.2939-2945, 2016
   6. Priti Sudhir Patki, “Classification using Different Normalization Techniques in Support Vector Machine, International Journal of Computer Applications”, International Conference on Communication Technology, 2013
   7. V. Landassuri -Moreno, John A. Bullinaria,” Biasing the evolution of modular neural network”, pp.1958-1965 ,2011
   8. http://url -http://archive.ics.uci.edu/ml/datasets